A reasonable solution to the problem of overall evaluation is to compute the difference between an empirical distribution of generated dances and a ground truth distribution.
Several past works follow this intuition and automatically evaluate dance quality with Frechet Distance metrics [1]}, [2]}, [3]}. As part of our experiments, we conduct a two-pronged analysis into the prevailing metrics, “FID\(_k\) " and “FID\(_g\) " [1]}, which compute the difference between distributions of heuristically extracted motion features, and show them to be unsound for the AIST++ dataset.
